Finance Transformation Manager — M-KOPA

You know the difference between a demo and a system that survives contact with a trial balance. That's rarer than you think.

Most people who can talk fluently about AI have never had to make it work inside a real close process, a real audit trail, a real Anaplan model that finance actually trusts. M-KOPA is looking for someone who has — or someone ready to prove they can.

Where this sits. M-KOPA is one of Africa's fastest-growing fintechs, now serving 7 million customers across five markets and having unlocked over $2 billion in credit. Behind those numbers is a finance function running on Microsoft Dynamics and Anaplan, increasingly threaded through with Claude, and a leadership team that's decided this is the moment to stop treating AI as an experiment and start treating it as infrastructure.

Why now. We've grown from 5 million customers to 7 million, and we're building toward 10 million next. That growth doesn't just need more finance headcount — it needs a finance function that runs leaner and smarter than the one that got us here. 86% of our customers report improved quality of life, and 70% use our products to generate income; the systems behind those numbers need to scale without the manual reconciliation and reporting drag that usually comes with scale. This role exists because our leadership has committed to closing that gap now, not after it becomes a bottleneck.

What makes this different. Most "finance transformation" roles are really change-management roles wearing a technical label — you'll sit in workshops, write recommendations, and hand them to someone else to build. This one isn't that. You'll sit inside the finance team, find the friction yourself, and build the fix yourself: deepening our Claude–Dynamics integration, designing agents and workflows that actually replace manual reconciliation work, and owning the result end to end. It's a builder's mandate with a finance brief, not an IT ticket queue.

What you'll bring.

• Demonstrable experience deploying Claude (or a comparable AI system) in a real business context — prompt design, workflow automation, API integration, and artefacts that actually run in production. This is the single most important thing we're looking for, and we'll ask you to show us something real you've built, ideally involving a Dynamics-style integration.

• A technical foundation strong enough to read a data model and a trial balance in the same afternoon, paired with exceptional learning aptitude — the proven ability to apply AI and engineering thinking to genuinely complex financial and accounting scenarios.

• Working knowledge of how audit actually works in practice: mining and structuring data for external and internal audit processes, and following through on remediation of findings, not just producing the report.

What the work looks like. Some weeks you're deep in the weeds of a Dynamics-Anaplan integration, chasing down why two systems disagree on a number. Other weeks you're building an agent that turns a two-day reconciliation into a two-hour one, then coaching the finance team on when to trust it and when not to. You'll be the person finance calls when something's slow, and the person engineering calls when they need someone who actually understands what a close process demands. Data integrity — one source of truth across the finance stack — sits with you.

Reality check. This role asks you to be genuinely bilingual between finance and engineering, and there's no playbook to hand you — you'll be writing it as you go, often while systems are live and numbers are due. If that sounds like friction rather than freedom, this probably isn't the role. If it sounds like exactly the kind of problem you've been waiting for someone to hand you, you're probably ready for it.

Where you work from. This role is remote or based in any of our operating markets — we're more interested in what you can build than where you build it from.

If you've spent the last while wondering why finance teams still work the way they did a decade ago, and you've actually built something that proves it doesn't have to — let's talk about what that could look like at M-KOPA scale.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC's World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. 

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.